Role purpose
Join Softobiz’s Kochi analytics team supporting Consolidated Food Co (CFCO), a global food supplychain business that combines direct sourcing, financing, logistics and weekly market reporting. Helpsenior analysts turn raw data and market updates into evidence that sourcing teams can use. Use AIto speed up research and routine analysis, and check the work before it goes into a report
Key responsibilities
- Research food and commodity markets. Use approved AI tools to find, extract and summarise
evidence from sources such as USDA and Meat & Livestock Australia. Check figures and claims
against the original, record the source and date, and flag conflicting evidence.
- Prepare reliable data. Maintain price, production and trade datasets. Standardise dates, units and
currencies; check gaps, duplicates and outliers. Use AI to help draft SQL or Python, then test the
results against the data.
- Explain what changed. Build Excel analyses, charts and dashboard updates. Draft a short weekly
market note linking a price or supply move to possible drivers, such as seasonality, freight or
exchange rates, and state what remains uncertain.
- Support forecasting experiments. Under guidance, reproduce a simple time series baseline, run
an AutoML experiment and compare results on a later holdout period. Log the data, settings and
errors so a teammate can rerun your work. Use approved systems for client data.
Required qualifications and skills
- Pursuing or recently completed a degree in Mathematics, Statistics, Economics, Data Science or a
related quantitative field; 0-2 years of experience.
- Working Excel skills, basic statistics and hands-on exposure to Python or SQL through coursework,
projects, an internship or employment.
- A project or work sample showing how you used an AI tool for research, data cleaning or analysis,
checked its output and explained what you found. Academic and personal projects are welcome.
- Clear written and spoken English, attention to detail and the ability to document your work.
Preferred experience
- Exposure to time series, AutoML, Git or dashboards such as Power BI or Tableau. A food,
agriculture or economic data project is a plus.
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